A Brief Introduction to Atmospheric Data Analysis
How we know what the weather was like
 




http://spaceflight.nasa.gov/gallery/images/station/crew-7/html/iss007e10807.html

  • Introduction
  • Data Assimilation
  • SSI
  • Harmonics
  • Variables
  • Example
  • Sources

What variables are used?

In the model (the part that moves ahead in time to create a forecast), the variables (not including space and time) are:

  • ζ=relative vorticity: this is a measure of how much the wind is spinning: how much vortex motion there is.  A basic test for this is: put a merry-go-round in the wind field. If it starts to turn, there is vorticity in the wind.
                                                             

  • D=wind divergence: this is how much the wind is blowing apart or coming together. 



  • Φ=mass, temperature, pressure and gravity combine in this term: it shows whether the air is in (hydrostatic) equilibrium with the air around it.  If it is not in equilibrium, it will result in atmospheric waves; if it is in equilibrium, the air will remain calm.  This is how SSI avoids the initialization step.


  • q=specific humidity: how much water vapor is in the air, in units of mass per volume



© 2010 Jeanie Talbot for Physics 645 at UAF
Design by JeremyD